This report is a collection of papers authored in the 2025 Summer and Fall sections of the course 17-679 Thesis Writing for Industrial Software Research, taken by students in the distance program of the Masters of Software Engineering professional program.

Contents

• Optimizing Organizational Design in a Rapidly Evolving AI Landscape – Steve Choi
• Between the Monolith and Microservice: how architectures evolve as applications grow – Carl T. Gruhn
• A Decision Framework for Prioritizing: Technical Debt in Agile Development – Alaa Mahmoud Hussein
• Scoring Trust: Evaluating Mobile Biometric Authentication With Standardized Security and Usability Metrics – Alan Kim
• Software Leadership Role Accountability in the Era of Generative AI – Eduardo Angel Romero Diaz
• An LLM-Based Framework for Automated Data Model Generation – Christie Sam
• Revisit Storage Trade-offs in Retrieval-Augmented Generation Systems: A Comparative Study of Embedded SQLite vs. External ANN Vector Databases Under Practical RAG Workloads – Tao Sun
• Operationalizing Trust in AIOps A Four-Pillar Framework for AI-Assisted Observability and On-Call Engineering – Yuren Wang
• Evaluating the Effect of Process Change on the Performance of an Agile Software Maintenance Team Using Discrete Event Simulation – Joe Yoon
• Enhancing Shared Mental Models in Distributed Software Engineering Teams – Chen Yuan
• Small Language Models on Edge Devices: What Works and What Doesn't – Lihan Zhan

284 pages

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